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Homeowners Handbook to Prepare for Natural Disasters
HOMEOWNERS HANDBOOK HANDBOOK HOMEOWNERS DELAWARE HOMEOWNERS TO PREPARE FOR FOR TO PREPARE HANDBOOK TO PREPARE FOR NATURAL HAZARDSNATURAL NATURAL HAZARDS TORNADOES COASTAL STORMS SECOND EDITION SECOND Delaware Sea Grant Delaware FLOODS 50% FPO 15-0319-579-5k ACKNOWLEDGMENTS This handbook was developed as a cooperative project among the Delaware Emergency Management Agency (DEMA), the Delaware Department of Natural Resources and Environmental Control (DNREC) and the Delaware Sea Grant College Program (DESG). A key priority of this project partnership is to increase the resiliency of coastal communities to natural hazards. One major component of strong communities is enhancing individual resilience and recognizing that adjustments to day-to- day living are necessary. This book is designed to promote individual resilience, thereby creating a fortified community. The second edition of the handbook would not have been possible without the support of the following individuals who lent their valuable input and review: Mike Powell, Jennifer Pongratz, Ashley Norton, David Warga, Jesse Hayden (DNREC); Damaris Slawik (DEMA); Darrin Gordon, Austin Calaman (Lewes Board of Public Works); John Apple (Town of Bethany Beach Code Enforcement); Henry Baynum, Robin Davis (City of Lewes Building Department); John Callahan, Tina Callahan, Kevin Brinson (University of Delaware); David Christopher (Delaware Sea Grant); Kevin McLaughlin (KMD Design Inc.); Mark Jolly-Van Bodegraven, Pam Donnelly and Tammy Beeson (DESG Environmental Public Education Office). Original content from the first edition of the handbook was drafted with assistance from: Mike Powell, Greg Williams, Kim McKenna, Jennifer Wheatley, Tony Pratt, Jennifer de Mooy and Morgan Ellis (DNREC); Ed Strouse, Dave Carlson, and Don Knox (DEMA); Joe Thomas (Sussex County Emergency Operations Center); Colin Faulkner (Kent County Department of Public Safety); Dave Carpenter, Jr. -
Contextualizing Disaster
Contextualizing Disaster This open access edition has been made available under a CC BY-NC-ND 4.0 license, thanks to the support of Knowledge Unlatched. Catastrophes in Context Series Editors: Gregory V. Button, former faculty member of University of Michigan at Ann Arbor Mark Schuller, Northern Illinois University / Université d’État d’Haïti Anthony Oliver-Smith, University of Florida Volume ͩ Contextualizing Disaster Edited by Gregory V. Button and Mark Schuller This open access edition has been made available under a CC BY-NC-ND 4.0 license, thanks to the support of Knowledge Unlatched. Contextualizing Disaster Edited by GREGORY V. BUTTON and MARK SCHULLER berghahn N E W Y O R K • O X F O R D www.berghahnbooks.com This open access edition has been made available under a CC BY-NC-ND 4.0 license, thanks to the support of Knowledge Unlatched. First published in 2016 by Berghahn Books www.berghahnbooks.com ©2016 Gregory V. Button and Mark Schuller Open access ebook edition published in 2019 All rights reserved. Except for the quotation of short passages for the purposes of criticism and review, no part of this book may be reproduced in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system now known or to be invented, without written permission of the publisher. Library of Congress Cataloging-in-Publication Data Names: Button, Gregory, editor. | Schuller, Mark, 1973– editor. Title: Contextualizing disaster / edited by Gregory V. Button and Mark Schuller. Description: New York : Berghahn Books, [2016] | Series: Catastrophes in context ; v. -
P4.6 Observations from the 13 April 2004 Wake Low Damaging Wind Event in South Florida
P4.6 OBSERVATIONS FROM THE 13 APRIL 2004 WAKE LOW DAMAGING WIND EVENT IN SOUTH FLORIDA Robert R. Handel and Pablo Santos NOAA/NWS, Miami, Florida 1. INTRODUCTION of April 12th persisted across the Florida Straits. This boundary exhibited pseudo-warm frontal characteristics, Damaging winds affected portions of South Florida and was lifting northward over South Florida (white during the early morning of April 13, 2004. These winds dashed line in Fig. 1). To the north of the boundary, a occurred behind a large area of stratiform precipitation cool and stable surface layer was present over land. associated with a mesoscale convective system (MCS) A high amplitude longwave mid/upper tropospheric that moved across the southeastern Gulf of Mexico trough was located over the eastern United States. The during the evening of April 12, 2004 (Fig. 1). Wind axis of this trough extended from the Great Lakes speeds sustained between 30 and 50 mph with gusts southward to the central Gulf of Mexico while South reaching 76 mph were recorded on Lake Okeechobee. Florida was upstream of the ridge axis located near These winds produced a seiche effect on Lake 65°W longitude. In addition, a 130-knot (67 m s-1) polar Okeechobee, resulting in a 5.5 ft maximum water level jet and 60-knot (31 m s-1) subtropical jet were splitting differential between the north and south sides of this over the Gulf of Mexico and South Florida producing shallow lake (Fig. 8). In addition, damage from the high significant upper level diffluence over South Florida. -
Observations and Laboratory Simulations of Tornadoes in Complex Topographical Regions Christopher D
Iowa State University Capstones, Theses and Graduate Theses and Dissertations Dissertations 2012 Observations and Laboratory Simulations of Tornadoes in Complex Topographical Regions Christopher D. Karstens Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/etd Part of the Atmospheric Sciences Commons, and the Meteorology Commons Recommended Citation Karstens, Christopher D., "Observations and Laboratory Simulations of Tornadoes in Complex Topographical Regions" (2012). Graduate Theses and Dissertations. 12778. https://lib.dr.iastate.edu/etd/12778 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Observations and laboratory simulations of tornadoes in complex topographical regions by Christopher Daniel Karstens A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Major: Meteorology Program of Study Committee: William A. Gallus, Jr., Major Professor Partha P. Sarkar Bruce D. Lee Catherine A. Finley Raymond W. Arritt Xiaoqing Wu Iowa State University Ames, Iowa 2012 Copyright © Christopher Daniel Karstens, 2012. All rights reserved. ii TABLE OF CONTENTS LIST OF FIGURES .............................................................................................. -
Template for Electronic Journal of Severe Storms Meteorology
Lyza, A. W., A. W. Clayton, K. R. Knupp, E. Lenning, M. T. Friedlein, R. Castro, and E. S. Bentley, 2017: Analysis of mesovortex characteristics, behavior, and interactions during the second 30 June‒1 July 2014 midwestern derecho event. Electronic J. Severe Storms Meteor., 12 (2), 1–33. Analysis of Mesovortex Characteristics, Behavior, and Interactions during the Second 30 June‒1 July 2014 Midwestern Derecho Event ANTHONY W. LYZA, ADAM W. CLAYTON, AND KEVIN R. KNUPP Department of Atmospheric Science, Severe Weather Institute—Radar and Lightning Laboratories University of Alabama in Huntsville, Huntsville, Alabama ERIC LENNING, MATTHEW T. FRIEDLEIN, AND RICHARD CASTRO NOAA/National Weather Service, Romeoville, Illinois EVAN S. BENTLEY NOAA/National Weather Service, Portland, Oregon (Submitted 19 February 2017; in final form 25 August 2017) ABSTRACT A pair of intense, derecho-producing quasi-linear convective systems (QLCSs) impacted northern Illinois and northern Indiana during the evening hours of 30 June through the predawn hours of 1 July 2014. The second QLCS trailed the first one by only 250 km and approximately 3 h, yet produced 29 confirmed tornadoes and numerous areas of nontornadic wind damage estimated to be caused by 30‒40 m s‒1 flow. Much of the damage from the second QLCS was associated with a series of 38 mesovortices, with up to 15 mesovortices ongoing simultaneously. Many complex behaviors were documented in the mesovortices, including: a binary (Fujiwhara) interaction, the splitting of a large mesovortex in two followed by prolific tornado production, cyclic mesovortexgenesis in the remains of a large mesovortex, and a satellite interaction of three small mesovortices around a larger parent mesovortex. -
The South Texas Regional Cocorahs Newsletter
NWS Corpus The South Texas Regional Christi CoCoRaHS Newsletter Winter 2012 Edition by Christina Barron Quite the weather pattern, eh? Some- But even with some of these good, strong times it still feels like Summer even fronts, rain has been lacking lately. Moisture though we’re officially in Winter! But over the area just has not been able to re- we’ve had some Fall and Winter tem- bound after these strong, fast moving fronts. peratures over the past months, with a few good strong cold fronts that blew In this edition of the newsletter, we’ll talk Inside this issue: through the area. Lows dipped into the about the changes in the upcoming weather 40s to even 30s for the first time since pattern with a recap of the Summer. Also, Welcome Message 1 last winter during mid-November. Tem- we’ll talk about a new way to do SKYWARN peratures even dropped into the mid training. The 2012 Active Hurri- 1-2 20s over areas in mid-to-late December cane Season as strong Arctic fronts moved in. Drought Conditions to 2-3 Persist Observer Honors 3 by Juan Alanis 2012 Daily Reporters 4 The 2012 Atlantic Hurricane season came to a close November 30th, continuing a decades- SKYWARN Classes 4 long streak of very active hurricane seasons. Observer Corner 5 The 2012 season finished well above average with 19 named storms, 10 of which became hurricanes (winds > 73 mph), with one of CoCoRaHS Webinars 5 those becoming a major hurricane (winds >110 mph). The climatologically average is 12 National Weather Ser- 6 named storms in a season. -
Emergency Managers On-Line Survey on Extratropical and Tropical Cyclone Forecast Information: Hurricane Forecast Improvement Program/Storm Surge Roadmap
Emergency Managers National Science On-FoundationLine Survey on Extratropical and Tropical Cyclone Forecast Information: Hurricane Forecast Improvement Program/Storm Surge Roadmap January, 2013 Betty Hearn Morrow Jeffrey K. Lazo Research Applications Laboratory Weather Systems and Assessment Program Societal Impacts Program NCAR Technical Notes National Center for Atmospheric Research P. O. Box 3000 Boulder, Colorado 80307-3000 www.ucar.edu NCAR/TN-497 +STR NCAR TECHNICAL NOTES http://www.ucar.edu/library/collections/technotes/technotes.jsp The Technical Notes series provides an outlet for a variety of NCAR Manuscripts that contribute in specialized ways to the body of scientific knowledge but that are not yet at a point of a formal journal, monograph or book publication. Reports in this series are issued by the NCAR scientific divisions, published by the NCAR Library. Designation symbols for the series include: EDD – Engineering, Design, or Development Reports Equipment descriptions, test results, instrumentation, and operating and maintenance manuals. IA – Instructional Aids Instruction manuals, bibliographies, film supplements, and other research or instructional aids. PPR – Program Progress Reports Field program reports, interim and working reports, survey reports, and plans for experiments. PROC – Proceedings Documentation or symposia, colloquia, conferences, workshops, and lectures. (Distribution maybe limited to attendees). STR – Scientific and Technical Reports Data compilations, theoretical and numerical investigations, and experimental results. The National Center for Atmospheric Research (NCAR) is operated by the nonprofit University Corporation for Atmospheric Research (UCAR) under the sponsorship of the National Science Foundation. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. -
Vortex Polygons Nature Astron 4-02-21
Polygonal patterns of cyclones on Jupiter: Convective forcing and anticyclonic shielding Andrew Ingersoll ( [email protected] ) California Institute of Technology https://orcid.org/0000-0002-2035-9198 Shawn P. Ewald California Institute of Technology Federico Tosi Istituto Nazionale di AstroFisica Alberto Adriani Istituto Nazionale di AstroFisica Alessandro Mura Istituto Nazionale di AstroFisica Davide Grassi Istituto Nazionale di AstroFisica Christina Plainaki Agenzia Spaziale Italiana Giuseppe Sindoni Agenzia Spaziale Italiana Cheng Li University of Michigan Lia Siegelman Scripps Institution of Oceanography Patrice Klein California Institute of Technology William R. Young Scripps Institution of Oceanography Article Keywords: Jupiter, Juno, vortex, convection, atmosphere Posted Date: May 11th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-388198/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License 1 Polygonal patterns of cyclones on Jupiter: 2 Convective forcing and anticyclonic shielding 3 4 Andrew P. Ingersolla,1, Shawn P. Ewalda, Federico Tosib, Alberto Adrianib, Alessandro Murab, Davide 5 Grassib, Christina Plainakic, Giuseppe Sindonic, Cheng Lid, Lia Siegelmane, Patrice Kleinf, William R. 6 Younge 7 8 aPlanetary Science, California Institute of Technology, 1200 E. California Blvd, Pasadena, CA 91125, 9 USA 10 bIstituto Nazionale di AstroFisica – Istituto di Astrofisica e Planetologia Spaziali (INAF-IAPS), Rome, Italy 11 cAgenzia Spaziale Italiana (ASI), Via del Politecnico snc, 00133 - Rome, Italy 12 dClimate and Space Sciences and Engineering, University of Michigan, 2455 Hayward Street, Ann Arbor, 13 MI 48109, USA 14 eScripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92037, USA 15 16 fEnvironmental Science and Engineering Department, Geological and Planetary Sciences Division, 17 CALTECH, 1200E California Blvd, Pasadena CA 91125, USA 18 19 1Corresponding author: Andrew P. -
Near Or Above Normal Atlantic Hurricane Season Predicted
Near or Above Normal Atlantic Hurricane Season Predicted NOAA’s Climate Prediction Center indicates climate conditions point to a near normal or above normal hurricane season in the Atlantic Basin this season. Their outlook calls for a 65 percent probability of an above normal season and a 25 percent probability of a near normal season. This means there is a 90 percent chance of a near or above normal season. The climate patterns expected during this year’s hurricane season have in past seasons produced a wide range of activity and have been associated with both near-normal and above-normal seasons. For 2008, the outlook indicates a 60 to 70 percent chance of 12 to 16 named storms, including 6 to 9 hurricanes and 2 to 5 major hurricanes (Category 3, 4 or 5 on the Saffir-Simpson Scale). An average season has 11 named storms, including six hurricanes for which two reach major status. The science behind the outlook is rooted in the analysis and prediction of current and future global climate patterns as compared to previous seasons with similar conditions. “The main factors influencing this year’s seasonal outlook are the continuing multi-decadal signal (the combination of ocean and atmospheric conditions that have spawned increased hurricane activity since 1995), and the anticipated lingering effects of La Niña,” said Gerry Bell, Ph.D., lead seasonal hurricane forecaster at NOAA’s Climate Prediction Center. “One of the expected oceanic conditions is a continuation since 1995 of warmer-than-normal temperatures in the eastern tropical Atlantic.” “The outlook is a general guide to the overall seasonal hurricane activity,” said retired Navy Vice Adm. -
HURRICANE IRMA (AL112017) 30 August–12 September 2017
NATIONAL HURRICANE CENTER TROPICAL CYCLONE REPORT HURRICANE IRMA (AL112017) 30 August–12 September 2017 John P. Cangialosi, Andrew S. Latto, and Robbie Berg National Hurricane Center 1 24 September 2021 VIIRS SATELLITE IMAGE OF HURRICANE IRMA WHEN IT WAS AT ITS PEAK INTENSITY AND MADE LANDFALL ON BARBUDA AT 0535 UTC 6 SEPTEMBER. Irma was a long-lived Cape Verde hurricane that reached category 5 intensity on the Saffir-Simpson Hurricane Wind Scale. The catastrophic hurricane made seven landfalls, four of which occurred as a category 5 hurricane across the northern Caribbean Islands. Irma made landfall as a category 4 hurricane in the Florida Keys and struck southwestern Florida at category 3 intensity. Irma caused widespread devastation across the affected areas and was one of the strongest and costliest hurricanes on record in the Atlantic basin. 1 Original report date 9 March 2018. Second version on 30 May 2018 updated casualty statistics for Florida, meteorological statistics for the Florida Keys, and corrected a typo. Third version on 30 June 2018 corrected the year of the last category 5 hurricane landfall in Cuba and corrected a typo in the Casualty and Damage Statistics section. This version corrects the maximum wind gust reported at St. Croix Airport (TISX). Hurricane Irma 2 Hurricane Irma 30 AUGUST–12 SEPTEMBER 2017 SYNOPTIC HISTORY Irma originated from a tropical wave that departed the west coast of Africa on 27 August. The wave was then producing a widespread area of deep convection, which became more concentrated near the northern portion of the wave axis on 28 and 29 August. -
Chapter 3 Mesoscale Processes and Severe Convective Weather
CHAPTER 3 JOHNSON AND MAPES Chapter 3 Mesoscale Processes and Severe Convective Weather RICHARD H. JOHNSON Department of Atmospheric Science. Colorado State University, Fort Collins, Colorado BRIAN E. MAPES CIRESICDC, University of Colorado, Boulder, Colorado REVIEW PANEL: David B. Parsons (Chair), K. Emanuel, J. M. Fritsch, M. Weisman, D.-L. Zhang 3.1. Introduction tion, mesoscale phenomena occur on horizontal scales between ten and several hundred kilometers. This Severe convective weather events-tornadoes, hail range generally encompasses motions for which both storms, high winds, flash floods-are inherently mesoscale ageostrophic advections and Coriolis effects are im phenomena. While the large-scale flow establishes envi portant (Emanuel 1986). In general, we apply such a ronmental conditions favorable for severe weather, pro definition here; however, strict application is difficult cesses on the mesoscale initiate such storms, affect their since so many mesoscale phenomena are "multiscale." evolution, and influence their environment. A rich variety For example, a -100-km-Iong gust front can be less of mesocale processes are involved in severe weather, than -1 km across. The triggering of a storm by the ranging from environmental preconditioning to storm initi collision of gust fronts can actually occur on a ation to feedback of convection on the environment. In the -lOO-m scale (the microscale). Nevertheless, we will space available, it is not possible to treat all of these treat this overall process (and others similar to it) as processes in detail. Rather, we will introduce s~veral mesoscale since gust fronts are generally regarded as general classifications of mesoscale processes relatmg to mesoscale phenomena. -
1 Jp2.2 a Case Study of a Wake Low in Northern Illinois And
JP2.2 A CASE STUDY OF A WAKE LOW IN NORTHERN ILLINOIS AND THE WRF PREDICTION OF THE WAKE LOW William Wilson * National Weather Service, Chicago, Illinois Erik Janzon Northern Illinois University We ran four test runs. At 06 UTC A wake low occurred in northern Illinois initialization time one run was using an and southern Wisconsin, during the 11.7 km grid spacing and the other run morning of May 30, 2008. The surface using a 3.4 km grid spacing. At 12 UTC wind was 45 to 55 mph (22 to 28 m/s) initialization, one run was using a 11.7 with gusts to 65 mph (33 m/s). The wind km grid spacing and the other run was was not forecasted or expected. using a 3.4 km grid spacing. The time Forecasters had to quickly issue wind period of the WRF model runs were a 15 warnings as the strong wind was hour run with initialization at 06 UTC occurring. We hope to find ways to and a 12 hour model run with predict wake lows of this strength so to initialization at 12 UTC. We wanted to give forecasters some lead time or investigate the initialization effects on anticipation of wake low development. the wake low production, and the effect The Weather Research and Forecasting of grid spacing. The 3.4 km grid spacing (WRF), Advanced Research WRF model run was without the Kain and (ARW) model is used as a local Fritch convective scheme (Kain and operational model at the National Fritsch, 1990).